Abstract
Radiological site remediation is a resource intensive process requiring extensive field sampling to demonstrate regulatory compliance. Specifically, the application of Monte Carlo (MC) simulations and automated hybrid radiation transport methods has garnered interest in streamlining the remediation process by simulating detector responses for a plurality of contaminated media, contamination depths and profiles, and source-detector orientations. In this study, experimental validation of gamma-ray detector efficiency responses was conducted for simulations of radiological site-specific and idealized external contamination conditions. Measurements were performed with a cylindrical 2′′ × 2″ sodium iodide thallium-doped (NaI(Tl)) scintillator detector suspended above a 217.8 kBq, 50 cm × 50 cm 137Cs contamination source located on the surface of or buried within environmental soil. New area correction factors (ACFs) and gamma shielding factors (GSFs) were also derived to modify the simulated idealized detector efficiency responses, accounting for reductions in source area and clean soil covering layers, respectively, that may be encountered when performing in-situ gamma spectrometry in the field. The study concluded that simulated total detection efficiency from energy deposition in the active volume of the detector crystal can be adopted for radionuclide screening purposes. Furthermore, pragmatic implementation of environmental surveying using gamma-spectrometry requires site-specific information.
| Original language | English |
|---|---|
| Article number | 169067 |
| Journal | Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |
| Volume | 1060 |
| DOIs | |
| State | Published - Mar 2024 |
Funding
The authors would like to thank Vanessa Wei and Lotem Buchbinder Shadur of the RED2 Laboratory for their assistance with assembling the experimental setups. The authors would also like to thank the Oak Ridge National Laboratory (ORNL) Nuclear Energy and Fuel Cycle Division (NEFCD) for the allocation of parallel computing resources.
Keywords
- Environmental contamination
- Gamma spectrometry
- Monte Carlo
- NaI(Tl) detector
- Radiation transport